
Infisical
Akeyless.io
HashiCorp Vault Enterprise
AWS Secrets Manager
Doppler
SikkerKey
Vault by HashiCorp
The AI agent security platform: agent identity, Credential Vault, content-blind relay, metadata-only audit trail.

Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | tragentics.com | codegres.org |
| Pricing | — | |
| Platforms | — | |
| Company | Startup from the United States · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Tragentics is the AI agent security platform that authenticates every agent, injects keys from an encrypted Credential Vault so agents never hold them, routes every call through a content-blind relay, and records a metadata-only audit trail — across platforms and protocols.
No description of Codegres.org yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Tragentics and Codegres.org.
Tragentics's answer
TypeScript end to end. The application is built on Next.js and React; data lives in PostgreSQL with row-level security; the platform runs on AWS. Security primitives: AES-256-GCM encryption for credentials and endpoint URLs at rest, Ed25519 signatures for agent identity, HMAC-SHA256 webhook signing, and TOTP multi-factor authentication for accounts.
Tragentics's answer
AI agent security has two planes: the behavior plane (what an agent decides and says) and the infrastructure plane (what an agent is and touches — identity, credentials, transport, audit). Most vendors sell one point on that map. Tragentics covers the infrastructure plane as one integrated layer: it authenticates every agent, injects keys from an encrypted Credential Vault so agents never hold them, routes every call through a content-blind relay, and records a metadata-only audit trail — across platforms and protocols. And it is content-blind by design: it never reads, stores, or executes what your agents say, so it can never become a second copy of your data.
Tragentics's answer
Honestly, it depends on what you're comparing. Guardrail platforms (Zenity, Straiker, Obsidian) secure the behavior plane — prompt injection, runtime monitoring — and they're complementary rather than competing; many teams want both planes covered. Against infrastructure point tools, the difference is integration and deployment: secrets managers like Infisical, Akeyless, and HashiCorp Vault give you a vault you run and wire up yourself, and identity tools like Aembit give you workload identity — Tragentics gives you identity, the Credential Vault, content-blind transport, and a metadata-only audit trail as one hosted layer with nothing to deploy. Keys are injected by the relay at call time, so the calling agent never holds them, and it works with any external API your agents call — including third-party SaaS you don't control.
Tragentics's answer
Teams running AI agents that call real APIs — from a solo developer with two agents to an enterprise fleet. The typical user is a developer, platform engineer, or security engineer wiring agents together (MCP, A2A, ACP, OpenAI-compatible, ANP) who doesn't want to build identity, secrets handling, and audit infrastructure from scratch. Tragentics secures the agents you already own, wherever they run; organizations additionally get multi-tenant orgs, roles, and permission scopes.
Tragentics's answer
Tragentics launched in 2026, built around one observation: AI agents were multiplying faster than the security around them. Almost everyone was securing what agents say — prompt-injection filters, guardrails, output monitoring — while the things agents are and touch (identities, API keys, connections, audit trails) were handled with copy-pasted keys and hope. Tragentics was built to be that missing infrastructure layer, with one principle locked in from day one: the security layer itself must be content-blind. A tool that reads your agents' traffic in order to protect it becomes a second copy of your most sensitive data — so Tragentics never reads, stores, or executes what it routes.
Share your experience with using Tragentics and Codegres.org. For example, how are they different and which one is better?
When comparing Tragentics and Codegres.org, you can also consider the following products.

Infisical is an open source, end-to-end encrypted platform that lets you securely sync secrets and configs across your engineering team and infrastructure
Compare Infisical to Tragentics or Codegres.org:

Akeyless Vault platform built to secure IT and DevOps resources, credentials, and access, on hybrid cloud and legacy environments.
Compare Akeyless.io to Tragentics or Codegres.org:

HashiCorp Vault Enterprise centrally secures, stores, and tightly controls the access to secrets across distributed infrastructure and applications.
Compare HashiCorp Vault Enterprise to Tragentics or Codegres.org:

AWS Secrets Manager to Rotate, Manage, Retrieve Secrets
Compare AWS Secrets Manager to Tragentics or Codegres.org:

Doppler is the multi-cloud SecretOps Platform developers and security teams trust to provide secrets management at enterprise scale.
Compare Doppler to Tragentics or Codegres.org:

Machines authenticate with cryptographic signatures. No tokens, no API keys. Envelope encryption, per-secret access grants, real-time audit trail.
Compare SikkerKey to Tragentics or Codegres.org: